iPad15,7
Geekbench AI Score
2803
Single Precision Score
3270
Half Precision Score
3024
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 02:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
972
180.7 IPS |
|
|
Image Classification (Q)
|
96% |
748
139.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2298
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9580
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10667
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10063
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (HP)
|
100% |
907
71.9 IPS |
|
|
Object Detection (Q)
|
92% |
916
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
3960
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7229
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7801
60.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6090
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17555
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19544
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18964
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2761
101.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2826
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2451
90.5 IPS |
|
|
Text Classification (SP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4789
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4770
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
756
13.1 IPS |
